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A novel technology-industry concordance table based on linked inventor-establishment data

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  • Dorner, Matthias
  • Harhoff, Dietmar

Abstract

Mapping technologies into industries is frequently required in empirical innovation studies, but many concordances only provide coarse mappings. We develop a novel concordance between industries and technologies making use of linked inventor-employee data for a large sample of German patents filed at the European Patent Office between 1999 and 2011. Inventors listed on these patents are matched and disambiguated with German social security records. Employment data recorded in this database include detailed industry codes describing the industrial activities of the inventors’ establishments. These linked microdata allow us to identify the precise industrial origin of inventions, combine them with technology classifications from the inventors’ patents and to generate novel concordance tables. We evaluate our approach by comparing the concordances with existing work. Moreover, in an empirical application, we find that patent based indicators represent valid proxies for the innovation performance of industries and thus help to measure innovation in the absence of other survey based indicators. Service sector innovation activities, however, appear to be barely represented by the patenting activities of inventors and establishments.

Suggested Citation

  • Dorner, Matthias & Harhoff, Dietmar, 2018. "A novel technology-industry concordance table based on linked inventor-establishment data," Research Policy, Elsevier, vol. 47(4), pages 768-781.
  • Handle: RePEc:eee:respol:v:47:y:2018:i:4:p:768-781
    DOI: 10.1016/j.respol.2018.02.005
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    Cited by:

    1. Danzer, Alexander M. & Feuerbaum, Carsten & Gaessler, Fabian, 2020. "Labor Supply and Automation Innovation," IZA Discussion Papers 13429, Institute of Labor Economics (IZA).
    2. Adelheid Holl & Bettina Peters & Christian Rammer, 2023. "Local knowledge spillovers and innovation persistence of firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(6), pages 826-850, August.
    3. Jasmin Joecks & Kerstin Pull & Katrin Scharfenkamp, 2023. "Women directors and firm innovation: The role of women directors' representative function," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1203-1214, March.
    4. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    5. Kerstin Hotte, 2021. "Demand-pull, technology-push, and the direction of technological change," Papers 2104.04813, arXiv.org, revised Jan 2023.
    6. Xiaoli Wang & Yun Liu & Lingdi Chen & Yifan Zhang, 2022. "Correlation Monitoring Method and model of Science-Technology-Industry in the AI Field: A Case of the Neural Network," SAGE Open, , vol. 12(4), pages 21582440221, December.
    7. repec:iab:iabfda:201803(en is not listed on IDEAS
    8. Dorner, Matthias & Harhoff, Dietmar & Gaessler, Fabian & Hoisl, Karin & Poege, Felix, 2019. "Linked Inventor Biography Data 1980-2014 : (INV-BIO ADIAB 8014)," FDZ Datenreport. Documentation on Labour Market Data 201803_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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    More about this item

    Keywords

    Patents; International patent classification; Industry classification; Concordance; Linked inventor-establishment data;
    All these keywords.

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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